TY - JOUR
T1 - Circulating plasma metabolites and risk of rheumatoid arthritis in the nurses' health study
AU - Chu, Su H.
AU - Cui, Jing
AU - Sparks, Jeffrey A.
AU - Lu, Bing
AU - Tedeschi, Sara K.
AU - Speyer, Cameron B.
AU - Moss, Laura Kay
AU - Feser, Marie L.
AU - Kelmenson, Lindsay B.
AU - Mewshaw, Elizabeth A.
AU - Edison, Jess D.
AU - Deane, Kevin D.
AU - Clish, Clary
AU - Lasky-Su, Jessica
AU - Karlson, Elizabeth W.
AU - Costenbader, Karen H.
N1 - Funding Information:
The identification of specific products or scientific instrumentation is considered an integral part of the scientific endeavour and does not constitute endorsement or implied endorsement on the part of the author, DoD or any component agency. The views expressed in this presentation are those of the authors and do not reflect the official policy of the Department of Army/Navy/Air Force, Department of Defense or US Government. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Funding: This work was supported by the National Institute of Arthritis and Musculoskeletal and Skin Diseases [grant numbers R01 AR049880, R01 AR057327, K24 AR066109, K23 AR075070, K23 AR069688, L30 AR066953, P30 AR070253, P30 AR072577, R01 AR071326], National Human Genome Research Institute [grant number U01 HG008685] and the National Heart, Lung, and Blood Institute [grant number R01 HL119718] at the National Institutes of Health, and the Congressionally Directed Medical Research Program [grant number PR120839 (W81XWH-13-1-0408)]. NHS is supported by NIH grants UM1 CA186107, UM1 CA17626, R01 CA049449 and R01 CA067262.
Publisher Copyright:
© The Author(s) 2020. Published by Oxford University Press on behalf of the British Society for Rheumatology. All rights reserved. For permissions, please email: [email protected]
PY - 2020/11/1
Y1 - 2020/11/1
N2 - Objectives. RA develops slowly over years. We tested for metabolic changes prior to RA onset using a large non-targeted metabolomics platform to identify novel pathways and advance understanding of RA development. Methods. Two hundred and fifty-four incident RA cases with plasma samples drawn pre-RA onset in the Nurses' Health Study (NHS) cohorts were matched 1:2 to 501 controls on age, race, menopause/post-menopausal hormone use and blood collection features. Relative abundances of 360 unique, known metabolites were measured. Conditional logistic regression analyses assessed associations between metabolites and incidence of RA, adjusted for age, smoking and BMI, accounting for multiple comparisons. Subgroup analyses investigated seropositive (seroþ) RA and RA within 5 years of sample collection. Significant metabolites were then tested in a female military pre-RA case-control study (n ¼ 290). Results. In the NHS, metabolites associated with RA and seroþRA in multivariable models included 4-acetamido-butanoate (odds ratio (OR) ¼ 0.80/S.D., 95% CI: 0.66, 0.95), N-acetylputrescine (OR ¼ 0.82, 95% CI: 0.69, 0.96), C5 carnitine (OR ¼ 0.84, 95% CI: 0.71, 0.99) and C5:1 carnitine (OR ¼ 0.81, 95% CI: 0.68, 0.95). These were involved primarily in polyamine and leucine, isoleucine and valine metabolism. Several metabolites associated with seroþRA within 5 years of diagnosis were replicated in the independent military cohort: C5 carnitine (OR ¼ 0.55, 95% CI: 0.33, 0.92), C5:1 carnitine (OR ¼ 0.62, 95% CI: 0.39, 0.99) and C3 carnitine (OR ¼ 0.57, 95% CI: 0.36, 0.91). Conclusion. Several metabolites were inversely associated with incidence of RA among women. Three short-chain acylcarnitines replicated in a smaller dataset and may reflect inflammation in the 5-year period prior to seroþRA diagnosis.
AB - Objectives. RA develops slowly over years. We tested for metabolic changes prior to RA onset using a large non-targeted metabolomics platform to identify novel pathways and advance understanding of RA development. Methods. Two hundred and fifty-four incident RA cases with plasma samples drawn pre-RA onset in the Nurses' Health Study (NHS) cohorts were matched 1:2 to 501 controls on age, race, menopause/post-menopausal hormone use and blood collection features. Relative abundances of 360 unique, known metabolites were measured. Conditional logistic regression analyses assessed associations between metabolites and incidence of RA, adjusted for age, smoking and BMI, accounting for multiple comparisons. Subgroup analyses investigated seropositive (seroþ) RA and RA within 5 years of sample collection. Significant metabolites were then tested in a female military pre-RA case-control study (n ¼ 290). Results. In the NHS, metabolites associated with RA and seroþRA in multivariable models included 4-acetamido-butanoate (odds ratio (OR) ¼ 0.80/S.D., 95% CI: 0.66, 0.95), N-acetylputrescine (OR ¼ 0.82, 95% CI: 0.69, 0.96), C5 carnitine (OR ¼ 0.84, 95% CI: 0.71, 0.99) and C5:1 carnitine (OR ¼ 0.81, 95% CI: 0.68, 0.95). These were involved primarily in polyamine and leucine, isoleucine and valine metabolism. Several metabolites associated with seroþRA within 5 years of diagnosis were replicated in the independent military cohort: C5 carnitine (OR ¼ 0.55, 95% CI: 0.33, 0.92), C5:1 carnitine (OR ¼ 0.62, 95% CI: 0.39, 0.99) and C3 carnitine (OR ¼ 0.57, 95% CI: 0.36, 0.91). Conclusion. Several metabolites were inversely associated with incidence of RA among women. Three short-chain acylcarnitines replicated in a smaller dataset and may reflect inflammation in the 5-year period prior to seroþRA diagnosis.
KW - Carnitines
KW - Metabolites
KW - Metabolomics
KW - Pathogenesis
KW - Rheumatoid arthritis
UR - http://www.scopus.com/inward/record.url?scp=85094932094&partnerID=8YFLogxK
U2 - 10.1093/rheumatology/keaa125
DO - 10.1093/rheumatology/keaa125
M3 - Article
C2 - 32310291
AN - SCOPUS:85094932094
SN - 1462-0324
VL - 59
SP - 3369
EP - 3379
JO - Rheumatology (United Kingdom)
JF - Rheumatology (United Kingdom)
IS - 11
ER -